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遥感技术与应用  2018, Vol. 33 Issue (3): 536-544    DOI: 10.11873/j.issn.1004-0323.2018.3.0536
遥感应用     
基于显著性增强的过火区域提取研究
单天婵1,2,王长林1,陈方1,2,3,于博1,李斌1,瞿永泽4
(1.中国科学院遥感与数字地球研究所数字地球重点实验室,北京 100094;
2.中国科学院大学,北京 100049;
3.海南省地球观测重点实验室,海南 三亚 572029;
4.中国国土资源航空物探遥感中心,北京 100083)
Research on Extraction of Burned Area based on Saliency Enhancement
Shan Tianchan1,2,Wang Changlin1,Chen Fang1,2,3,Yu Bo1,Li Bin1,Ju Yongze4
(1.Institution of Remote Sensing and Digital Earth of Chinese Academy of Sciences,Digital Earth Key Laboratory,Beijing 100094,China;
2.University of Chinese Academy of Sciences,Beijing 100049,China;
3.Hainan Key Laboratory of Earth Observation,Sanya 572029,China;
4.China Aero Geophysical Survey and Remote Sensing Center for Landand Resources,Beijing 100083,China)
 全文: PDF(6668 KB)  
摘要:
过火区域信息对灾后评估、保护和恢复生态系统具有重要意义。目前现有的过火区域提取方法实用性较弱。基于FY-3C MERSI卫星数据,充分利用过火区域的多种特征,通过显著性增强,创建了一种新的过火区域提取方法。以美国西北部两个过火区域为研究区,将3种对过火区域敏感的植被指数(NDVI、GEMI和NDVIT)和影像的显著性特征结合起来,对研究区中的过火区域进行增强、提取。通过对研究区中的过火区域人工目视解译,对实验结果进行验证,同时与NBR阈值法提取的结果进行比较。两个研究区中显著性增强法的Kappa系数达到了0.68以上,比NBR阈值法高0.2。实验证明显著性增强法提取的过火区域整体精度较高,非火灾引起的植被变化对其影响较少,与NBR阈值法相比该方法具有一定的稳定性。
 
关键词: FY-3C MERSI显著性增强过火区域    
Abstract: The information of burned area is significant for post disaster assessment,ecosystems protection and restoration.So far,the existing detection methods of burned areas are less practical.Based on the FY\|3C MERSI satellite data,various characteristics of the burned area are fully utilized and a new method of burned area mapping is created through saliency enhancement.Two burned areas in the northwestern United States were selected as research areas.Three burned\|area\|sensitive vegetation indices(NDVI,GEMI and NDVIT) were combined with the saliency features of the images to enhance and extract the burned areas.Visual interpretations are used to evaluate the experimental results of the proposed method,and compared with the results of NBR threshold method.The results show that the kappa coefficient of the saliency enhancement method in the two research areas reaches more than 0.68,0.2 higher than NBR threshold method.Experiments show that the saliency enhancement method for mapping burned area is high,and the influence of vegetation change caused by non\|burned has little influence on it,and the method has a certain stability compared with the NBR threshold method.
Key words: FY3C MERSI    Saliency enhancement    Burned area
收稿日期: 2017-06-04 出版日期: 2018-07-04
:  P283.7  
基金资助: 中国科学院战略性先导科技专项(A类)(XDA19030101),国家自然科学基金项目(41671505、41601451)。
作者简介: 单天婵(1993-),女,新疆乌鲁木齐人,硕士研究生,主要从事过火面积提取研究。Email:shantc@radi.ac.cn。
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引用本文:

单天婵,王长林. 基于显著性增强的过火区域提取研究[J]. 遥感技术与应用, 2018, 33(3): 536-544.

Shan Tianchan,Wang Changlin. Research on Extraction of Burned Area based on Saliency Enhancement. Remote Sensing Technology and Application, 2018, 33(3): 536-544.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2018.3.0536        http://www.rsta.ac.cn/CN/Y2018/V33/I3/536

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